Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Danneels
1
70 kgLe Grevès
2
70 kgRossi
3
76 kgLesueur
4
74 kgArchambaud
5
66 kg
1
70 kgLe Grevès
2
70 kgRossi
3
76 kgLesueur
4
74 kgArchambaud
5
66 kg
Weight (KG) →
Result →
76
66
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DANNEELS Gustaaf | 70 |
| 2 | LE GREVÈS René | 70 |
| 3 | ROSSI Giulio | 76 |
| 4 | LESUEUR Raoul | 74 |
| 5 | ARCHAMBAUD Maurice | 66 |